rejonehridoy/Emotion_Extraction_and_Classification_from_Twitter_Text_using_Deep_Learning
Emotion is one of the basic instincts of a human being. Emotion detection plays a vital role in the field of textual analysis. At present, people’s expressions and emotional states have turned into the leading topic for research works.In this project, Our primary goal is to detect human’s emotion from text input through some Deep Learning Model.
This helps you automatically identify the underlying emotions in text, specifically from social media posts. You feed in raw text, and it outputs classifications like anger, joy, or sadness. This is useful for market researchers, brand managers, or social media analysts who need to understand public sentiment and emotional responses to topics or campaigns.
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Use this if you need to quickly categorize the dominant emotion within a large volume of short text snippets, like tweets, for sentiment analysis.
Not ideal if you require nuanced emotional understanding beyond basic categories or if your text data is not social media-oriented.
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Oct 13, 2021
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